overfeed.news

Architecting Governed, Self-Evolving AI Agents on Google Cloud

9h

Age

Collected
Image: Google Developers Blog

Learn how Project Chrysalis combines Google Cloud's Gemini Enterprise Agent Platform, Agent Development Kit (ADK), BigQuery, and a four-gate defense-in-depth security stack (Model Armor, Cloud KMS, Binary Authorization, and OPA) to build governed, self-evolving AI agents that remediate live production outages in 1.8 seconds.

Read the full article at developers.googleblog.com

overfeed.news indexes and links. We publish a short excerpt — the full article stays at Google Developers Blog.

Log in to follow this source

Announcing MCP support in Apigee hybrid: agentic tools that run in your own cluster

Apigee hybrid 1.17.0 introduces native Model Context Protocol (MCP) support, enabling the MCP data plane to run directly within your own Kubernetes cluster. This architecture ensures that AI agent request traffic and tool execution remain entirely inside your infrastructure while pulling configuration updates from the control plane. Developers can expose OpenAPI 3.0.x specifications as discoverable MCP tools, leverage existing security…

Announcing DPoP Support for Google OAuth: Securing Refresh Tokens

Google OAuth Platform now supports DPoP (Demonstrating Proof-of-Possession) to sender-constrain refresh tokens, neutralizing Infostealer malware and adversary-in-the-middle attacks. By cryptographically binding long-lived refresh tokens while maintaining short-lived access tokens as standard Bearer tokens, developers achieve robust credential security without incurring high-QPS API performance overhead. Additionally, developers integrating multi-agent or Model Context Protocol (MCP) workloads can use Google Cloud Secure Token…

Architecting Governed, Self-Evolving AI Agents on Google Cloud…